Why has Nakisa's Hanelly org chart visualization tool seen a 30% drop in user engagement over the past quarter?

Introduction

Nakisa's Hanelly org chart visualization tool has experienced a significant 30% drop in user engagement over the past quarter. This decline in a key performance metric requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this engagement drop.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 30% drop been compared to the same quarter last year?

Why it matters: Seasonal variations could explain engagement fluctuations. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than quarter-over-quarter.

• Considering user segments, I'm curious if this drop is uniform across all user types. Have you noticed any particular user segments more affected than others?

Why it matters: Identifies if the issue is widespread or localized to specific user groups. Expected answer: The drop is more pronounced among enterprise users. Impact on approach: We'd prioritize investigating enterprise-specific features or use cases.

• Thinking about recent changes, has there been any significant product update or feature release in the past quarter?

Why it matters: Recent changes could directly impact user engagement. Expected answer: A new UI was rolled out two months ago. Impact on approach: We'd focus on analyzing the impact of the UI change on user behavior.

• Regarding data integrity, has there been any change in how engagement is measured or in the systems tracking this metric?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement or tracking systems. Impact on approach: We'd rule out data collection issues and focus on actual usage patterns.